This series of courses was developed to train health care professionals on how to use health information technology in a variety of settings, including team-based care environments, long-term care facilities, patient-centered medical homes, accountable care organizations, hospitals, and clinics. The courses give an introductory look at the health IT needed in the areas of Value Based Care, Population Health, and Health Data Analytics.

The courses are available free of charge, but students who would like to receive continuing education units (CEUs) pay a fee for the CEU certificates.



There are three courses in this series, and they have been designed to work together or separately, depending on each student’s areas of interest. We recommend that you take all three courses, as they offer different views of how health IT can be used. All of the courses are offered completely online and are self-paced. All three courses taken together typically take about six weeks to complete.

Value-Based Care

The aim of value-based care is to transform our health care system by providing patients and populations with care that produces health outcomes that matter to the patient and encourage smarter spending. To achieve the goals of value-based care, new models of care delivery, payment and financial strategies are used to restructure how care delivery is organized, measured and reimbursed. These models include a broad set of performance-based payment strategies that link financial incentives to providers’ performance. This course will describe the movement toward value-based care and will review the new models of care and the new payment models.

Topics include:

  • Accountable Care Organizations
  • Patient-Centered Medical Homes
  • MIPS and MACRA
  • Introduction to Precision Medicine

Register Here

Population Health

In the changing health care landscape, there is an emphasis on health care providers being responsible and accountable for defined populations of patients. This course discusses the role of health IT and emerging data sources in deriving population health solutions and explains their application in the context of population health management.

Topics include:

  • Community Population Health
  • Structured Accountable Care Approaches
  • Identifying Risk and Preventive Analysis
  • Population Health Management Interventions

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Health Data Analytics

Data analytics has been defined as the extensive use of data, statistical and quantitative analysis, explanatory and predictive models, and fact-based management to drive decisions and actions. In the future the role of health IT will shift to putting that data and information to use improving individual health and health care delivery. With EHR data capture, genomics, and other data sources there is a need for increased support for those making decisions. This course presents data analytics focused on the key needs of health care.

Topics include:

  • Big Data
  • Working with Data
  • Understanding Clinical Data
  • Risk Adjustment
  • Predictive Modeling

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How to Obtain CEUs

Continuing education units (CEUs) are available for a fee of $25 per course. Students can earn 15 hours of CEUs per course completed.

Recommended For: All Clinicians and Healthcare Administrators as well as Health IT professionals.

These courses were designed for professionals in clinical and administrative positions that want to understand the role of health IT in their jobs and how health IT systems and the data they provide can influence how health care is delivered. This is an introductory look at health IT, and students do not need to have any experience in health IT prior to taking the courses. Health IT professionals will learn about the changes taking place in healthcare and the role of health IT in facilitating those changes.

Individuals interested in extending their informatics knowledge and skills beyond these courses should consider enrolling in the certificate in clinical informatics and the MS in Health Informatics (MSHI) degree program.

How the Courses Were Developed

The courses were developed through a grant from The Office of the National Coordinator for Health Information Technology (ONC) under award number 90WT0007, and UAB was one of seven institutions chosen to participate in the program.

Program Contact Information

Meg Bruck, MSHI
Phone: 205.975.3550
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

CHIPS/Q Director
Eta S. Berner, Ed.D.
Professor, Health Informatics Program
Phone: 205.975.8219
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